Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3 1B

Google

Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Gemma 3 1B

Google

2025-03-12

Gemma 3n E2B Instructed

Google

2025-06-26

3 months newer

Average performance across 9 common benchmarks

Gemma 3 1B

Average Score:22.2%

Gemma 3n E2B Instructed

+14.9%

Average Score:37.1%

Performance comparison across key benchmark categories

Gemma 3 1B

code

+9.8%

43.0%

math

+1.8%

42.2%

general

17.8%

Gemma 3n E2B Instructed

code

33.2%

math

40.4%

general

+15.0%

32.8%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemma 3n E2B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 3 1B

0 providers

Gemma 3n E2B Instructed

0 providers

Gemma 3 1B

Avg Score:22.2%

Providers:0

Gemma 3n E2B Instructed

+14.9%

Avg Score:37.1%

Providers:0